albertwang8192-2025-07-11-7

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-11-7_v8

model_name: 2025-07-11_7_v8

model_group: AlbertWang8192/2025-07-1

status: torndown

timestamp: 2025-07-12T18:27:52+00:00

num_battles: 7418

num_wins: 3684

celo_rating: 1271.78

family_friendly_score: 0.5448

family_friendly_standard_error: 0.007042626782671363

submission_type: basic

model_repo: AlbertWang8192/2025-07-11_7

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5919292308077432, 'latency_mean': 1.6892631149291992, 'latency_p50': 1.697924256324768, 'latency_p90': 1.8705116510391235}, {'batch_size': 3, 'throughput': 1.062310874912126, 'latency_mean': 2.822664359807968, 'latency_p50': 2.8297494649887085, 'latency_p90': 3.1135906696319577}, {'batch_size': 5, 'throughput': 1.2731038414916416, 'latency_mean': 3.9030740678310396, 'latency_p50': 3.9024046659469604, 'latency_p90': 4.379884219169616}, {'batch_size': 6, 'throughput': 1.3235692600100246, 'latency_mean': 4.517978554964065, 'latency_p50': 4.508832931518555, 'latency_p90': 5.0592677116394045}, {'batch_size': 8, 'throughput': 1.4008701882822279, 'latency_mean': 5.672894539833069, 'latency_p50': 5.680649995803833, 'latency_p90': 6.412446618080139}, {'batch_size': 10, 'throughput': 1.429194193818853, 'latency_mean': 6.933304911851883, 'latency_p50': 6.916553497314453, 'latency_p90': 7.853417277336121}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-11_7_v8

is_internal_developer: False

language_model: AlbertWang8192/2025-07-11_7

model_size: 13B

ranking_group: single

throughput_3p7s: 1.25

us_pacific_date: 2025-07-12

win_ratio: 0.4966298193583176

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 20, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_end|>', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name albertwang8192-2025-07-11-7-v8-mkmlizer
Waiting for job on albertwang8192-2025-07-11-7-v8-mkmlizer to finish
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albertwang8192-2025-07-11-7-v8-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-11-7-v8-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-11-7-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-11-7-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-11-7-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-11-7-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-11-7-v8-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
albertwang8192-2025-07-11-7-v8-mkmlizer: Downloaded to shared memory in 39.881s
albertwang8192-2025-07-11-7-v8-mkmlizer: Checking if AlbertWang8192/2025-07-11_7 already exists in ChaiML
albertwang8192-2025-07-11-7-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp693gfsqe, device:0
albertwang8192-2025-07-11-7-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-11-7-v8-mkmlizer: quantized model in 37.784s
albertwang8192-2025-07-11-7-v8-mkmlizer: Processed model AlbertWang8192/2025-07-11_7 in 77.759s
albertwang8192-2025-07-11-7-v8-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-11-7-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-11-7-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia
albertwang8192-2025-07-11-7-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia/config.json
albertwang8192-2025-07-11-7-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia/special_tokens_map.json
albertwang8192-2025-07-11-7-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia/tokenizer_config.json
albertwang8192-2025-07-11-7-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia/tokenizer.json
albertwang8192-2025-07-11-7-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v8/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-11-7-v8-mkmlizer completed after 106.05s with status: succeeded
Stopping job with name albertwang8192-2025-07-11-7-v8-mkmlizer
Pipeline stage MKMLizer completed in 106.83s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-11-7-v8
Waiting for inference service albertwang8192-2025-07-11-7-v8 to be ready
Inference service albertwang8192-2025-07-11-7-v8 ready after 210.76074600219727s
Pipeline stage MKMLDeployer completed in 211.48s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4645512104034424s
Received healthy response to inference request in 1.5726006031036377s
Received healthy response to inference request in 1.4719038009643555s
Received healthy response to inference request in 1.6789767742156982s
Received healthy response to inference request in 1.6484191417694092s
5 requests
0 failed requests
5th percentile: 1.4920431613922118
10th percentile: 1.5121825218200684
20th percentile: 1.5524612426757813
30th percentile: 1.587764310836792
40th percentile: 1.6180917263031005
50th percentile: 1.6484191417694092
60th percentile: 1.6606421947479248
70th percentile: 1.6728652477264405
80th percentile: 1.8360916614532472
90th percentile: 2.150321435928345
95th percentile: 2.307436323165893
99th percentile: 2.4331282329559327
mean time: 1.7672903060913085
Pipeline stage StressChecker completed in 10.37s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.62s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3536.38s
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albertwang8192-2025-07-11-7_v8 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-11-7_v8 status is now torndown due to DeploymentManager action